A Framework To Efficiently Implementation of Traffic Route Searching System Using Quantum Computing
This paper aims to evaluate the performance of the implementation of a framework for traffic route optimization system using quantum computing. The system uses the Grover algorithm to find the address of a specific score associated with a desired route. The quantum oracle is implemented with a quantum memory (easily to update using classical bits) and a quantum equality comparator. The evaluation of proposed quantum searching algorithm shows a much better performance comparing with the classical searching algorithms.
